Google DeepMind has announced Veo 2, its latest AI video generation model, positioning it as a direct competitor to OpenAI’s Sora. The new model is currently available through Google Labs’ VideoFX platform on a waitlist basis, with users required to apply through a Google Form for access. According to Google, Veo 2 can generate videos … Read more
DeepMind has announced Genie 2, an artificial intelligence model capable of creating playable 3D environments from single images and text prompts. The model, unveiled on December 4, 2024, represents an advancement over its predecessor Genie 1, which was limited to 2D worlds. According to DeepMind, Genie 2 can generate interactive environments that respond to keyboard … Read more
Google DeepMind CEO Demis Hassabis leads the company’s efforts to advance artificial intelligence while balancing research goals with commercial applications. In an extensive interview with Harry McCracken, Hassabis details how the April 2023 merger of DeepMind and Google Brain created a powerhouse AI research organization that now serves as Google’s “engine room.” The combined entity … Read more
Two recent studies provide the first empirical evidence that having AI models debate each other can help a human or machine judge discern the truth, reports Nash Weerasekera for Quanta Magazine. The approach, first proposed in 2018, involves two expert language models presenting arguments on a given question to a less-informed judge, who then decides … Read more
Google subsidiary DeepMind has introduced SynthID-Text, a system for watermarking text generated by large language models (LLMs). By subtly altering word probabilities during text generation, SynthID-Text embeds a detectable statistical signature without degrading the quality, accuracy, or speed of the output, as described by Pushmeet Kohli and colleagues in the journal Nature. While not foolproof, … Read more
DeepMind researchers have introduced a new agentic framework called Talker-Reasoner, which is inspired by the “two systems” model of human cognition. The framework divides the AI agent into two distinct modules, VentureBeat reports: the Talker, which handles real-time interactions with the user and the environment, and the Reasoner, which performs complex reasoning and planning. The … Read more
DeepMind has introduced the Michelangelo benchmark to evaluate the long-context reasoning capabilities of large language models (LLMs), Ben Dickson reports for VentureBeat. While LLMs can manage extensive context windows, research indicates they struggle with reasoning over complex data structures. Current benchmarks often focus on retrieval tasks, which do not adequately assess a model’s reasoning abilities. … Read more
DeepMind has developed a new technique called SCoRe that significantly improves the self-correction abilities of large language models (LLMs). Ben Dickson reports this in an article for VentureBeat. SCoRe uses self-generated data and enables LLMs to use their internal knowledge to identify and correct errors. In tests, SCoRe significantly outperformed other self-correction methods. The technique … Read more
Researchers are working on new AI systems that can check their own mathematical answers. This is reported by Cade Metz in the New York Times. The technology is meant to prevent chatbots like ChatGPT from providing incorrect information. Instead, the new systems can generate mathematical evidence to verify their answers. Silicon Valley startup Harmonic, for … Read more
Google’s DeepMind researchers have developed a new method called JEST that significantly speeds up AI training while reducing energy requirements. By optimizing the selection of training data, JEST can reduce the number of iterations by a factor of 13 and the computational complexity by a factor of 10.